Acute cerebral infarction is a serious disease threatening to human life and health, causing a serious disease burden on the patient himself, his family and society. The purpose of this study is to reasonably predict the cost of grouping DRG cases in patients with acute cerebral infarction and to provide reference for medical insurance payment decision-making.
We used the case coding system to retrieve 1425 elderly hospitalized patients with cerebral infarction in 2021, and extracted the information from the first page of medical records, as well as used univariate and multiple linear regression analysis to screen node variables affecting hospitalization costs, and constructed a decision tree model for case group analysis of hospitalization costs.
The age of the samples was 74.37±6.691 years old, and the hospitalization time was 13.15±10.629 days. The total hospitalization costs were 9589.94 yuan (6892.905, 14480.625 yuan), and gender, marriage, cost category, admission route, treatment outcome, complications, and treatment method were statistically significant from the total hospitalization costs (P < 0.05). The important factors affecting the total hospitalization costs include marriage, expense category, admission route, treatment outcome and treatment method (P < 0.05) . The standardized partial regression coefficient of treatment method is the largest, which shows that it has the greatest influence on the total hospitalization costs of elderly patients with cerebral infarction. The main independent variables affecting hospitalization costs of elderly patients with cerebral infarction include marriage, expense category, admission route, outcome and treatment method, which are important classification nodes variables of regression tree.
The case grouping of hospitalization costs of elderly patients with cerebral infarction has good homogeneity and heterogeneity between groups, and the grouping is reasonable, which can provide some reference for the reform of medical insurance payment.